Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks. - Jingtao Ding; Yong Li 008; Depeng Jin (INFOCOM Workshops, 2015)

Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks. - Huandong Wang; Jingtao Ding; Yong Li 008; Pan Hui 001; Jian Yuan; Depeng Jin (HOTPOST@MobiHoc, 2015)

Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment. - Jingtao Ding; Xihui Liu; Yong Li 008; Di Wu 002; Depeng Jin; Sheng Chen 001 (MASS, 2016)

Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. - Jingtao Ding; Yanghao Li; Yong Li 008; Pan Hui 001; Depeng Jin (SIGCOMM Posters and Demos, 2017)

Improving Implicit Recommender Systems with View Data. - Jingtao Ding; Guanghui Yu; Xiangnan He 001; Yuhan Quan; Yong Li 008; Tat-Seng Chua; Depeng Jin; Jiajie Yu (IJCAI, 2018)

A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring. - Shaoran Xiao; Fang Wang; Jingtao Ding; Yong Li 008 (IWCMC, 2018)

Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. - Jingtao Ding; Yanghao Li; Yong Li 008; Depeng Jin (SDM, 2018)

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. - Jingtao Ding; Fuli Feng; Xiangnan He 001; Guanghui Yu; Yong Li 008; Depeng Jin (WWW (Companion Volume), 2018)

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. - Jingtao Ding; Guanghui Yu; Xiangnan He 001; Yong Li 008; Depeng Jin (CoRR, 2018)

Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks. - Jingtao Ding; Rui Xu; Yong Li 008; Pan Hui 001; Depeng Jin (IEEE Trans. Mob. Comput., 2018)

Deviations of Check-ins and Human Mobility Trajectory. - Xichen Wang; Jingtao Ding; Steve Uhlig; Yong Li 008; Depeng Jin (BigCom, 2019)

Reinforced Negative Sampling for Recommendation with Exposure Data. - Jingtao Ding; Yuhan Quan; Xiangnan He 001; Yong Li 008; Depeng Jin (IJCAI, 2019)

Social Weak-tie Assisted Cross-domain Short Video Recommendation. - Xichen Wang; Chen Gao 001; Jingtao Ding; Long Hu; Ying Hu; Yong Li 008; Depeng Jin (IWCMC, 2019)

CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. - Xichen Wang; Chen Gao 001; Jingtao Ding; Yong Li 008; Depeng Jin (IEEE Access, 2019)

Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and Transfer Learning. - Jingtao Ding; Guanghui Yu; Yong Li 008; Depeng Jin; Hui Gao (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Beyond the Click: A First Look at the Role of a Microblogging Platform in the Web Ecosystem. - Jingtao Ding; Zhongjin Liu; Shaoran Xiao; Yang Chen 001; Yong Li 008; Depeng Jin; Steve Uhlig (IEEE Trans. Netw. Serv. Manag., 2019)

Location Semantics Identification via Users' Clickstreams in Mobile Social Networking. - Xichen Wang; Huandong Wang; Jingtao Ding; Yong Li 008; Depeng Jin (IEEE Trans. Netw. Serv. Manag., 2019)

Representative Negative Instance Generation for Online Ad Targeting. - Yuhan Quan; Jingtao Ding; Depeng Jin; Jianbo Yang; Xing Zhou; Yong Li 008 (CIKM, 2020)

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. - Jingtao Ding; Yuhan Quan; Quanming Yao; Yong Li 008; Depeng Jin (NeurIPS, 2020)

Improving Implicit Recommender Systems with Auxiliary Data. - Jingtao Ding; Guanghui Yu; Yong Li 008; Xiangnan He 001; Depeng Jin (ACM Trans. Inf. Syst., 2020)

Time Dependent Pricing for Large-Scale Mobile Networks of Urban Environment: Feasibility and Adaptability. - Jingtao Ding; Yong Li 008; Pengyu Zhang; Depeng Jin (IEEE Trans. Serv. Comput., 2020)

Knowledge-driven Site Selection via Urban Knowledge Graph. - Yu Liu 016; Jingtao Ding; Yong Li 008 (CoRR, 2021)

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. - Jingtao Ding; Guanghui Yu; Xiangnan He 001; Fuli Feng; Yong Li 008; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. - Dandan Lin; Shijie Sun; Jingtao Ding; Xuehan Ke; Hao Gu; Xing Huang; Chonggang Song; Xuri Zhang; Lingling Yi; Jie Wen; Chuan Chen (CIKM, 2022)

Causal Learning Empowered OD Prediction for Urban Planning. - Jinwei Zeng; Guozhen Zhang; Can Rong; Jingtao Ding; Jian Yuan; Yong Li 008 (CIKM, 2022)

Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. - Yuan Yuan 032; Jingtao Ding; Huandong Wang; Depeng Jin; Yong Li 008 (KDD, 2022)

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. - Yu Zheng 010; Chen Gao 001; Jingtao Ding; Lingling Yi; Depeng Jin; Yong Li 008; Meng Wang 001 (ACM Multimedia, 2022)

Item-Provider Co-learning for Sequential Recommendation. - Lei Chen 072; Jingtao Ding; Min Yang 007; Chengming Li; Chonggang Song; Lingling Yi (SIGIR, 2022)

KnowSite: Leveraging Urban Knowledge Graph for Site Selection. - Yu Liu 016; Jingtao Ding; Yong Li 008 (SIGSPATIAL/GIS, 2023)

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. - Zhilun Zhou; Jingtao Ding; Yu Liu 016; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 2023)

Learning Symbolic Models for Graph-structured Physical Mechanism. - Hongzhi Shi; Jingtao Ding; Yufan Cao 002; Quanming Yao; Li Liu; Yong Li 008 (ICLR, 2023)

Spatio-temporal Diffusion Point Processes. - Yuan Yuan 032; Jingtao Ding; Chenyang Shao; Depeng Jin; Yong Li 008 (KDD, 2023)

Road Planning for Slums via Deep Reinforcement Learning. - Yu Zheng 010; Hongyuan Su; Jingtao Ding; Depeng Jin; Yong Li 008 (KDD, 2023)

Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. - Yuan Yuan 032; Huandong Wang; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW, 2023)

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. - Yu Liu 016; Xin Zhang 106; Jingtao Ding; Yanxin Xi; Yong Li 008 (WWW, 2023)

Robust Preference-Guided Denoising for Graph based Social Recommendation. - Yuhan Quan; Jingtao Ding; Chen Gao 001; Lingling Yi; Depeng Jin; Yong Li 008 (WWW, 2023)

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. - Zhilun Zhou; Yu Liu 016; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW, 2023)

Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. - Can Rong; Jingtao Ding; Zhicheng Liu; Yong Li 008 (CoRR, 2023)

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. - Chen Gao 001; Xiaochong Lan; Nian Li; Yuan Yuan 032; Jingtao Ding; Zhilun Zhou; Fengli Xu; Yong Li 008 (CoRR, 2023)

UrbanKG: An Urban Knowledge Graph System. - Yu Liu 016; Jingtao Ding; Yanjie Fu; Yong Li 008 (ACM Trans. Intell. Syst. Technol., 2023)

GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. - Can Rong; Jie Feng 002; Jingtao Ding (IEEE Trans. Knowl. Data Eng., 2023)

Social Physics Informed Diffusion Model for Crowd Simulation. - Hongyi Chen; Jingtao Ding; Yong Li 008; Yue Wang 007; Xiao-Ping Zhang (AAAI, 2024)

Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. - Jinwei Zeng; Yu Liu 016; Jingtao Ding; Jian Yuan; Yong Li 008 (AAAI, 2024)

Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (SIGSPATIAL/GIS, 2024)

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. - Yuan Yuan 032; Chenyang Shao; Jingtao Ding; Depeng Jin; Yong Li 008 (ICLR, 2024)

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. - Yuan Yuan 032; Jingtao Ding; Jie Feng 002; Depeng Jin; Yong Li 008 (KDD, 2024)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Guilong Chen; Hong Chen; Shen Zhao; Haisheng Lu; Yong Li 008 (KDD, 2024)

TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. - Chang Liu 092; Jingtao Ding; Yiwen Song; Yong Li 008 (KDD, 2024)

MetroGNN: Metro Network Expansion with Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW (Companion Volume), 2024)

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. - Hongyuan Su; Yu Zheng 010; Jingtao Ding; Depeng Jin; Yong Li 008 (WWW (Companion Volume), 2024)

Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models. - Chenyang Shao; Fengli Xu; Bingbing Fan; Jingtao Ding; Yuan Yuan 032; Meng Wang 001; Yong Li 008 (CoRR, 2024)

A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. - Yuan Yuan 032; Chenyang Shao; Jingtao Ding; Depeng Jin; Yong Li 008 (CoRR, 2024)

Artificial Intelligence for Complex Network: Potential, Methodology and Application. - Jingtao Ding; Chang Liu 092; Yu Zheng 010; Yunke Zhang; Zihan Yu; Ruikun Li 002; Hongyi Chen; Jinghua Piao; Huandong Wang; Jiazhen Liu; Yong Li 008 (CoRR, 2024)

UrbanWorld: An Urban World Model for 3D City Generation. - Yu Shang; Jiansheng Chen; Hangyu Fan; Jingtao Ding; Jie Feng 002; Yong Li 008 (CoRR, 2024)

A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. - Can Rong; Jingtao Ding; Yan Liu 002; Yong Li 008 (CoRR, 2024)

Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. - Zihan Yu; Jingtao Ding; Yong Li 008 (CoRR, 2024)

Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling. - Yu Liu 016; Shu Yang; Jingtao Ding; Quanming Yao; Yong Li 008 (CoRR, 2024)

UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning. - Yuan Yuan 032; Chonghua Han; Jingtao Ding; Depeng Jin; Yong Li 008 (CoRR, 2024)

A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction. - Yuan Yuan 032; Jingtao Ding; Chonghua Han; Depeng Jin; Yong Li 008 (CoRR, 2024)

Understanding World or Predicting Future? A Comprehensive Survey of World Models. - Jingtao Ding; Yunke Zhang; Yu Shang; Yuheng Zhang; Zefang Zong; Jie Feng 002; Yuan Yuan 032; Hongyuan Su; Nian Li; Nicholas Sukiennik; Fengli Xu; Yong Li 008 (CoRR, 2024)

Alleviating Video-length Effect for Micro-video Recommendation. - Yuhan Quan; Jingtao Ding; Chen Gao 001; Nian Li; Lingling Yi; Depeng Jin; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

Generating Daily Activities with Need Dynamics. - Yuan Yuan 032; Jingtao Ding; Huandong Wang; Depeng Jin (ACM Trans. Intell. Syst. Technol., 2024)

Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. - Can Rong; Zhicheng Liu; Jingtao Ding; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2024)

Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. - Renhao Huang; Jingtao Ding; Maurice Pagnucco; Yang Song 001 (IEEE Robotics Autom. Lett., 2024)

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. - Can Rong; Jingtao Ding; Yan Liu 002; Yong Li 008 (ICLR, 2025)

Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. - Zihan Yu; Jingtao Ding; Yong Li 008; Depeng Jin (ICLR, 2025)

Artificial Intelligence for Complex Network: Potential, Methodology and Application. - Jingtao Ding; Yu Zheng 010; Huandong Wang; Carlo Vittorio Cannistraci; Jianxi Gao; Yong Li 008; Chuan Shi 001 (WWW (Companion Volume), 2025)

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. - Yuheng Zhang; Yuan Yuan 032; Jingtao Ding; Jian Yuan; Yong Li 008 (WWW, 2025)

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. - En Xu; Can Rong; Jingtao Ding; Yong Li 008 (CoRR, 2025)

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. - Zhi Sheng; Yuan Yuan 032; Jingtao Ding; Yong Li 008 (CoRR, 2025)

An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. - Can Rong; Jingtao Ding; Yong Li 008 (ACM Comput. Surv., 2025)

Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion. - Yiwen Song; Jingtao Ding; Jian Yuan; Qingmin Liao; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

Sample-efficient diffusion-based control of complex nonlinear systems. - Hongyi Chen; Jingtao Ding; Jianhai Shu; Xinchun Yu; Xiaojun Liang; Yong Li 008; Xiao-Ping Zhang (CoRR, 2025)

Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. - Hongyi Chen; Jingtao Ding; Xiaojun Liang; Yong Li 008; Xiao-Ping Zhang (CoRR, 2025)

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. - Jie Feng 002; Jinwei Zeng; Qingyue Long; Hongyi Chen; Jie Zhao; Yanxin Xi; Zhilun Zhou; Yuan Yuan 032; Shengyuan Wang; Qingbin Zeng; Songwei Li; Yunke Zhang; et al. (CoRR, 2025)

WorldMove, a global open data for human mobility. - Yuan Yuan 032; Yuheng Zhang; Jingtao Ding; Yong Li 008 (CoRR, 2025)

Predicting Dynamical Systems across Environments via Diffusive Model Weight Generation. - Ruikun Li 002; Huandong Wang; Jingtao Ding; Yuan Yuan 032; Qingmin Liao; Yong Li 008 (CoRR, 2025)

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities. - Can Rong; Xin Zhang 106; Yanxin Xi; Hongjie Sui; Jingtao Ding; Yong Li 008 (CoRR, 2025)

A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development. - Can Rong; Jingtao Ding; Meng Liu 006; Yong Li 008 (CoRR, 2025)

Large language model as user daily behavior data generator: balancing population diversity and individual personality. - Haoxin Li; Jingtao Ding; Jiahui Gong; Yong Li 008 (CoRR, 2025)

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)

Tuning Language Models for Robust Prediction of Diverse User Behaviors. - Fanjin Meng; Jingtao Ding; Jiahui Gong; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)

Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems. - Jiazhen Liu; Ruikun Li 002; Huandong Wang; Zihan Yu; Chang Liu 092; Jingtao Ding; Yong Li 008 (CoRR, 2025)

TrajMoE: Spatially-Aware Mixture of Experts for Unified Human Mobility Modeling. - Chonghua Han; Yuan Yuan 032; Kaiyan Chen; Jingtao Ding; Yong Li 008 (CoRR, 2025)

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting. - Chang Liu 092; Bohao Zhao; Jingtao Ding; Huandong Wang; Yong Li 008 (CoRR, 2025)

A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. - Yuan Yuan 032; Jingtao Ding; Jie Feng 002; Depeng Jin; Yong Li 008 (IEEE Trans. Knowl. Data Eng., 2025)

STTF: A Spatiotemporal Transformer Framework for Multi-task Mobile Network Prediction. - Jiahui Gong; Yu Liu 016; Tong Li 013; Jingtao Ding; Zhaocheng Wang 001; Depeng Jin (IEEE Trans. Mob. Comput., 2025)

OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. - Jinwei Zeng; Yu Liu 016; Guozhen Zhang; Jingtao Ding; Yuming Lin 003; Jian Yuan; Yong Li 008 (CoRR, 2025)

A Survey of Physics-Informed AI for Complex Urban Systems. - En Xu; Huandong Wang; Yunke Zhang; Sibo Li; Yinzhou Tang; Zhilun Zhou; Yuming Lin 003; Yuan Yuan 032; Xiaochen Fan; Jingtao Ding; Yong Li 008 (CoRR, 2025)

Advancing network resilience theories with symbolized reinforcement learning. - Yu Zheng 010; Jingtao Ding; Depeng Jin; Jianxi Gao; Yong Li 008 (CoRR, 2025)

FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents. - Qinglong Yang; Haoming Li; Haotian Zhao; Xiaokai Yan; Jingtao Ding; Fengli Xu; Yong Li 008 (CoRR, 2025)

UniMove: A Unified Model for Multi-city Human Mobility Prediction. - Chonghua Han; Yuan Yuan 032; Yukun Liu; Jingtao Ding; Jie Feng 002; Yong Li 008 (CoRR, 2025)